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35問 • 2年前
  • LASIGAS JESSENY WAYNE V.
    • 通報

    問題一覧

  • 1

    • the process of making general conclusions founded on detailed examples

    Inductive Reasoning

  • 2

    • the conclusion formed in inductive reasoning is called?

    conjecture

  • 3

    Is an idea based on incomplete information. This may be true or false.

    Conjecture

  • 4

    These are very useful to prove the validity of conjectures

    counterexamples

  • 5

    •the process of making specific and truthful conclusions based on general principles.

    Deductive Reasoning

  • 6

    deals with categories or attributes

    Qualitative Data

  • 7

    numerical data

    Quantitative Data

  • 8

    Kind of Quantitave Data that is obtained through counting

    Discrete Data

  • 9

    Kind of Quantitave Data that is obtained by measuring

    Continuous Data

  • 10

    Classifies qualitative data into two or more categories. It is the lowest level of measurement.

    Nominal

  • 11

    ranks qualitative data

    Ordinal

  • 12

    involves quantitative data that are ranked and makes sense of differences.

    Interval

  • 13

    Does not only include those characteristics of interval level of measurement but also starts at the 0 value. It is the highest level of measurement

    Ratio

  • 14

    • a single value that describes the center of a distribution.

    Measures of Central Tendency

  • 15

    - defined to be the sum of all values in a set of data divided by the total number of observations

    MEAN

  • 16

    - the middle value when data is in ascending or descending order.

    Median

  • 17

    - the most frequent value in a set of data

    MODE

  • 18

    (INTERVAL- RATIO)

    MEAN

  • 19

    (ORDINAL)

    MEDIAN

  • 20

    (NOMINAL)

    MODE

  • 21

    • a single value that describes the spread of a distribution

    Measure of Dispersion

  • 22

    (highest value – lowest value) = ?

    Range

  • 23

    •the middle 50% of a set of data [ upper quartile 75th% - lower quartile 25th%]

    Interquartile Range

  • 24

    • based on the mean; implies the squared distance of each observation from the mean

    VARIATION

  • 25

    • the square root of the standard variance

    Standard Deviation

  • 26

    • a property of a distribution that has the mean as the center • acting as a mirror image of the two sides of the distribution • most of the data values are found near the mean • the mean is equal to the median

    SYMMETRIC DISTRIBUTION

  • 27

    • distribution that lacks symmetry

    ASYMMETRIC DISTRIBUTION

  • 28

    When most of the data values can be found on the left side of the distribution, the mean > median.

    Right-skewed distribution

  • 29

    when most of the data values can be found on the right side of the distribution, the mean < median

    Left-skewed distribution

  • 30

    An arrangement of raw data into class intervals and frequency

    Frequency Distribution table

  • 31

    • Five-number summary contains: minimum, median, maximum, lower quartile, and upper quartile

    Box-and-whisker plot

  • 32

    • The most notable graphs when presenting nominal data; they are divided into sections to show relative frequency

    Pie chart

  • 33

    • The most notable graphs when presenting nominal data; describing frequency is its main objective

    Bar graph

  • 34

    • Another visual representation of quantitative data that is divided into two parts

    Stem and leaf plot

  • 35

    A graph that consists of vertical, rectangular bars that represent the frequency of ranges of values

    Histogram

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    問題一覧

  • 1

    • the process of making general conclusions founded on detailed examples

    Inductive Reasoning

  • 2

    • the conclusion formed in inductive reasoning is called?

    conjecture

  • 3

    Is an idea based on incomplete information. This may be true or false.

    Conjecture

  • 4

    These are very useful to prove the validity of conjectures

    counterexamples

  • 5

    •the process of making specific and truthful conclusions based on general principles.

    Deductive Reasoning

  • 6

    deals with categories or attributes

    Qualitative Data

  • 7

    numerical data

    Quantitative Data

  • 8

    Kind of Quantitave Data that is obtained through counting

    Discrete Data

  • 9

    Kind of Quantitave Data that is obtained by measuring

    Continuous Data

  • 10

    Classifies qualitative data into two or more categories. It is the lowest level of measurement.

    Nominal

  • 11

    ranks qualitative data

    Ordinal

  • 12

    involves quantitative data that are ranked and makes sense of differences.

    Interval

  • 13

    Does not only include those characteristics of interval level of measurement but also starts at the 0 value. It is the highest level of measurement

    Ratio

  • 14

    • a single value that describes the center of a distribution.

    Measures of Central Tendency

  • 15

    - defined to be the sum of all values in a set of data divided by the total number of observations

    MEAN

  • 16

    - the middle value when data is in ascending or descending order.

    Median

  • 17

    - the most frequent value in a set of data

    MODE

  • 18

    (INTERVAL- RATIO)

    MEAN

  • 19

    (ORDINAL)

    MEDIAN

  • 20

    (NOMINAL)

    MODE

  • 21

    • a single value that describes the spread of a distribution

    Measure of Dispersion

  • 22

    (highest value – lowest value) = ?

    Range

  • 23

    •the middle 50% of a set of data [ upper quartile 75th% - lower quartile 25th%]

    Interquartile Range

  • 24

    • based on the mean; implies the squared distance of each observation from the mean

    VARIATION

  • 25

    • the square root of the standard variance

    Standard Deviation

  • 26

    • a property of a distribution that has the mean as the center • acting as a mirror image of the two sides of the distribution • most of the data values are found near the mean • the mean is equal to the median

    SYMMETRIC DISTRIBUTION

  • 27

    • distribution that lacks symmetry

    ASYMMETRIC DISTRIBUTION

  • 28

    When most of the data values can be found on the left side of the distribution, the mean > median.

    Right-skewed distribution

  • 29

    when most of the data values can be found on the right side of the distribution, the mean < median

    Left-skewed distribution

  • 30

    An arrangement of raw data into class intervals and frequency

    Frequency Distribution table

  • 31

    • Five-number summary contains: minimum, median, maximum, lower quartile, and upper quartile

    Box-and-whisker plot

  • 32

    • The most notable graphs when presenting nominal data; they are divided into sections to show relative frequency

    Pie chart

  • 33

    • The most notable graphs when presenting nominal data; describing frequency is its main objective

    Bar graph

  • 34

    • Another visual representation of quantitative data that is divided into two parts

    Stem and leaf plot

  • 35

    A graph that consists of vertical, rectangular bars that represent the frequency of ranges of values

    Histogram